Fuzzy logic in management
Author(s)
Bibliographic Information
Fuzzy logic in management
（International series in operations research & management science, 66）
Kluwer Academic, c2004
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Note
Includes bibliographical references and index
Description and Table of Contents
Description
This book shows how the application of fuzzy logic can benefit management, group decision making, strategic planning, supply chain management and other business imperatives. The theoretical analysis is fully supported by real-life case studies. The book develops themes that businesses can use to master effectiveness and quality, work with flexibility, and support continuous learning in the organization and the individual.
Table of Contents
List of Figures. List of Tables. Introduction. 1: Management and intelligent support technologies. 1. Management. 2. Decision support systems. 3. Hyper knowledge - a brief summary of experiences. 4. New information technology, intelligent systems and soft computing. 5. Some lessons for future DSS. 2: Fuzzy sets and fuzzy logic. 1. Fuzzy sets. 2. Averaging operators. 3: Group decision support systems. 1. The arrow impossibility theorem: from classical to fuzzy approaches. 2. Consensus modeling in GDM. 3. A soft degree of consensus based on fuzzy logic with linguistic quantifiers. 4. An interactive system for consensus reaching. 5. The OCA approach to multicriteria multiperson consensus modeling. 6. Quality evaluation of elderly persons' homes using fuzzy quantifiers. 7. A decision support system for strategic planning through scenarios. 8. An artificial neural network evaluator for mortgage loan applications. 9. A linguistic approach to personnel evaluation. 10. An application to environmental policies. 4: Fuzzy real options for strategic planning. 1. A fuzzy approach to real option valuation. 2. Nordic Telekom Inc. 3. Summary. 5: A fuzzy approach to reducing the bullwhip effect. 1. The bullwhip effect, some additional details. 2. Fuzzy approaches to demand signal processing. 3. A hybrid soft computing platform for taming the bullwhip effect. 4. Summary. 6: Knowledge management. 1. Introduction. 2. The current state of knowledge management research. 3. Knowledge management: a conceptual framework. 4. Knowledge management strategies. 5. Knowledge management projects. 6. Research in knowledge management - some methodology issues. 7. IT solutions to support knowledge management. 7: Mobile technology applications. 1. Introduction. 2. Consumer survey in Finland. 3. An expert survey in Finland. 4. Acceptance of mobile commerce in Finland, Hong Kong and Singapore. 5. Mobile commerce products and services.
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